For sure NLP writ large requires lower accuracy levels than AV, like how computer vision writ large has many applications that require lower accuracy levels tha

For sure NLP writ large requires lower accuracy levels than AV, like how computer vision writ large has many applications that require lower accuracy levels than AV. And indeed over the past few years what we've seen play out in CV deployments in the real world is incremental gains in controlled environments built on gobs and gobs of application-specific engineering, vs breakout success steamrolling over industries with standardized turnkey solutions I say that as someone who works in the space and loves it tbc. And I fully expect to see some wild stuff make it IRL this decade in both NLP and CV, I just think the rubber hits the road a bit more slowly than pop social media discourse would have one think.